Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method comprising: generating, by a first network device of a radio access network (RAN), an assignment policy for selecting an access and mobility management function (AMF) from a group of available AMFs, wherein the assignment policy includes network slice priorities for available network slices in the RAN, and wherein the first network device includes at least one of a non-real-time RAN Intelligent Controller (RIC-non-RT) or a near-real-time RIC (RIC-near-RT); storing, by a second network device of the RAN, the assignment policy; receiving, by the second network device, a connection request initiated by an end device, wherein the connection request includes Network Slice Selection Assistance Information (NSSAI); identifying, by the second network device and from the NSSAI, multiple single-NSSAIs (S-NSSAIs); and selecting, by the second network device and based on the assignment policy, an AMF for a highest priority S-NSSAI, of the multiple S-NSSAIs.
2. The method of claim 1 , further comprising: receiving, by the first network device, network data that indicates capabilities and capacities for the available network slices, including capabilities and capacities over a core network, wherein the assignment policy is based on the network data.
A method for managing network slices in a telecommunications system involves dynamically assigning network resources to user devices based on their service requirements and the available network capabilities. The method includes determining a service requirement for a user device, identifying available network slices that can support the service requirement, and assigning the user device to a selected network slice based on an assignment policy. The assignment policy considers factors such as the user device's service requirements, the capabilities and capacities of the available network slices, and the network data indicating the capabilities and capacities over the core network. This ensures efficient resource allocation and optimal performance for different types of services, such as high-bandwidth applications, low-latency communications, or IoT devices. The method dynamically adjusts assignments as network conditions or service demands change, improving overall network efficiency and user experience. The network data includes detailed information about the capabilities and capacities of the available network slices, allowing the system to make informed decisions when assigning user devices to specific slices. This approach enhances network flexibility and scalability, supporting diverse service requirements in a dynamic network environment.
3. The method of claim 2 , wherein receiving the network data includes receiving the network data from one or more of: a self-organizing network (SON), a service orchestrator (SO), or a network data analytics function (NWDAF).
This invention relates to network data processing in telecommunications systems, specifically addressing the challenge of efficiently collecting and utilizing network data from various sources to optimize network performance and service delivery. The method involves receiving network data from multiple sources, including self-organizing networks (SON), service orchestrators (SO), and network data analytics functions (NWDAF). SON systems autonomously configure and optimize network parameters, SO systems manage and coordinate service provisioning, and NWDAF systems analyze network data to derive insights. The received data is then processed to extract relevant information, which is used to enhance network operations, improve service quality, and support decision-making processes. The method ensures that data from diverse sources is integrated and leveraged effectively, enabling real-time adjustments and long-term planning to meet evolving network demands. This approach improves network efficiency, reduces operational costs, and enhances user experience by dynamically adapting to changing conditions and requirements. The invention is particularly useful in modern telecommunications environments where multiple data sources must be harmonized to maintain optimal performance.
4. The method of claim 1 , further comprising: collecting, by the first network device, local RAN data, including recent AMF assignment data.
A method for managing network operations in a wireless communication system, particularly in a radio access network (RAN), addresses the challenge of efficiently tracking and utilizing network configuration data to optimize performance. The method involves a first network device, such as a base station or a RAN controller, collecting local RAN data, including recent Access and Mobility Management Function (AMF) assignment data. This data helps the network device make informed decisions about resource allocation, mobility management, and service provisioning. The AMF assignment data, which indicates which AMF is currently handling a user device's control plane functions, is critical for ensuring seamless handover and maintaining service continuity as the device moves across different network areas. By collecting and analyzing this data locally, the network device can reduce latency, improve reliability, and enhance overall network efficiency. The method may also involve coordinating with other network devices to share this data, enabling a more coordinated and adaptive network response to dynamic conditions. This approach is particularly useful in 5G and beyond networks, where mobility and service demands are highly variable.
5. The method of claim 1 , wherein selecting the AMF for a highest priority S-NSSAI includes selecting the AMF when the assignment policy indicates there is no single AMF designated to provide service to the end device for all of the S-NSSAIs in the NSSAI.
The system chooses a specific network controller (AMF) for the most important network slice when there isn't one single controller assigned to handle all the different network services the device needs.
6. The method of claim 1 , wherein the second network device includes a control plane function of a next generation Node B (gNB).
A method for managing network functions in a wireless communication system addresses the challenge of efficiently distributing control plane operations in next-generation networks. The method involves a second network device that performs a control plane function of a next-generation Node B (gNB). This function includes handling signaling, mobility management, and session management for user equipment (UE) devices. The second network device operates in conjunction with a first network device, which may perform user plane functions such as data transmission and reception. By separating control plane and user plane functions, the method improves network scalability, reduces latency, and enhances resource utilization. The control plane function of the gNB manages radio resource control (RRC) connections, non-access stratum (NAS) signaling, and other control operations, while the user plane function handles data traffic. This separation allows for flexible deployment, where control plane and user plane functions can be independently scaled and optimized based on network demands. The method is particularly useful in 5G and beyond networks, where high-speed, low-latency communication is critical.
7. The method of claim 1 , further comprising: sending, by the first network device, the assignment policy to the second network device.
A method for managing network device assignments involves distributing an assignment policy from a first network device to a second network device. The assignment policy defines rules for allocating resources or tasks among network devices, ensuring efficient and balanced operation. The first network device generates or receives this policy, which may include criteria such as device capabilities, load conditions, or priority levels. The policy is then transmitted to the second network device, enabling it to apply the rules for resource allocation or task distribution. This ensures consistent and optimized network performance by aligning device operations with predefined guidelines. The method may also involve monitoring compliance with the policy and adjusting assignments dynamically to maintain efficiency. The approach is particularly useful in distributed systems where multiple devices must coordinate tasks or resources without centralized control. By disseminating the policy, the first network device ensures that all participating devices adhere to the same operational framework, reducing conflicts and improving overall system reliability.
8. A system comprising: one or more network devices of a radio access network (RAN), the one or more network devices including: a communication interface, a memory, wherein the memory stores first instructions, and a processor, wherein the processor executes the instructions to: receive, from one of a non-real-time RAN Intelligent Controller (RIC-non-RT) or a near-real-time RIC (RIC-near-RT), an assignment policy for selecting an access and mobility management function (AMF) from a group of available AMFs, wherein the assignment policy includes network slice priorities for available network slices in the RAN, store, in the memory, the assignment policy, receive a connection request initiated by an end device, wherein the connection request includes Network Slice Selection Assistance Information (NSSAI), identify, from the NSSAI, multiple single-NSSAIs (S-NSSAIs), and select, based on the assignment policy, an AMF for a highest priority S-NSSAI, of the multiple S-NSSAIs.
This invention relates to a system for optimizing access and mobility management function (AMF) selection in a radio access network (RAN) based on network slice priorities. The system addresses the challenge of efficiently assigning AMFs to end devices in a 5G or similar network where multiple network slices with varying priorities are available. The system includes one or more network devices in the RAN, each equipped with a communication interface, memory, and a processor. The processor executes instructions to receive an assignment policy from either a non-real-time RAN Intelligent Controller (RIC-non-RT) or a near-real-time RIC (RIC-near-RT). The policy includes network slice priorities for available slices in the RAN. The system stores this policy and processes connection requests from end devices, which include Network Slice Selection Assistance Information (NSSAI). The system identifies multiple single-NSSAIs (S-NSSAIs) from the NSSAI and selects an AMF based on the highest priority S-NSSAI according to the stored assignment policy. This ensures that end devices are connected to the most appropriate AMF for their required network slice, improving resource allocation and service quality. The system dynamically adapts to changing network conditions and priorities, enhancing overall network efficiency.
9. The system of claim 8 , wherein the processor further executes the instructions to: receive network data that indicates capabilities and capacities for the available network slices, wherein the assignment policy is based on the network data.
This invention relates to network slice management in wireless communication systems, specifically addressing the challenge of efficiently allocating network resources to meet diverse service requirements. The system dynamically assigns network slices to user equipment (UE) devices based on their service needs and the available network capabilities. The processor in the system receives network data that details the capabilities and capacities of available network slices, such as bandwidth, latency, and reliability. This data is used to determine an assignment policy that optimizes resource allocation. The system evaluates the service requirements of the UE devices, which may include factors like data rate, latency tolerance, and mobility patterns. Based on this evaluation, the system selects the most suitable network slice for each device, ensuring efficient utilization of network resources while meeting service demands. The assignment policy is dynamically adjusted in response to changes in network conditions or user requirements, enabling adaptive and scalable network management. This approach enhances network performance, reduces congestion, and improves service quality for diverse applications, including IoT, mobile broadband, and mission-critical communications.
10. The system of claim 9 , wherein the network data is received via an A1 interface from one or more of: a self-organizing network (SON), a service orchestrator (SO), or a network data analytics function (NWDAF).
The system relates to network management in telecommunications, specifically for collecting and processing network data to optimize performance. The problem addressed is the need for efficient data exchange between network management components to enable real-time decision-making and automation. The system receives network data from various sources, including a self-organizing network (SON), a service orchestrator (SO), or a network data analytics function (NWDAF), via an A1 interface. The A1 interface facilitates standardized communication, allowing the system to gather operational data, performance metrics, and configuration details from these sources. The SON provides automated network optimization capabilities, the SO manages service deployment and lifecycle, and the NWDAF analyzes network data to derive insights. By integrating these inputs, the system enhances network visibility, enabling proactive adjustments to improve efficiency, reliability, and service quality. The solution supports dynamic network management, reducing manual intervention and improving responsiveness to changing conditions. The system's ability to process diverse data streams ensures comprehensive monitoring and control, addressing challenges in modern, complex telecommunications networks.
11. The system of claim 8 , wherein the processor further executes the instructions to: collect, local RAN data, including recent AMF assignment data.
A system for managing radio access network (RAN) operations collects and processes local RAN data, including recent Access and Mobility Management Function (AMF) assignment data. The system is designed to enhance network efficiency and mobility management in wireless communication environments. The AMF assignment data tracks which network nodes are responsible for managing user equipment (UE) connections, ensuring seamless handover and service continuity. By analyzing this data, the system optimizes resource allocation, reduces signaling overhead, and improves overall network performance. The collected RAN data may also include other relevant metrics such as signal strength, load balancing information, and UE mobility patterns. The system processes this data to dynamically adjust network configurations, prioritize traffic, and mitigate congestion. This approach enables more intelligent decision-making for network operators, leading to better user experience and operational efficiency. The system is particularly useful in 5G and beyond networks, where mobility management and real-time data processing are critical for supporting diverse services and high-density deployments.
12. The system of claim 8 , wherein, when selecting an AMF for a highest priority S-NSSAI, the processor further executes the instructions to: select the AMF when the assignment policy indicates there is no single AMF designated to provide service to the end device for all of the S-NSSAIs in the NSSAI.
In the domain of 5G network architecture, particularly in the context of network slicing and access management, a technical challenge arises in efficiently selecting an Access and Mobility Management Function (AMF) for a user device when multiple network slice selection assistance information (S-NSSAI) values are involved. The invention addresses this by providing a system that improves AMF selection logic for high-priority S-NSSAI. The system includes a processor configured to execute instructions for AMF selection based on an assignment policy. When determining an AMF for the highest priority S-NSSAI, the processor evaluates whether the assignment policy specifies a single AMF designated to serve the end device for all S-NSSAIs in the network slice selection assistance information (NSSAI). If no such single AMF is designated, the system selects an AMF specifically for the highest priority S-NSSAI. This ensures optimal service continuity and resource allocation in scenarios where multiple network slices are involved, avoiding conflicts or inefficiencies in AMF assignment. The system enhances flexibility and reliability in 5G network operations by dynamically adapting AMF selection based on priority and policy constraints.
13. The system of claim 8 , wherein the one or more network devices includes a next generation Node B (gNB).
A wireless communication system includes a network device configured to manage communication between user equipment (UE) and a core network. The system addresses challenges in efficiently handling data traffic, particularly in high-density or high-mobility environments, by optimizing resource allocation and reducing latency. The network device, which may include a next-generation Node B (gNB), is part of a 5G or advanced wireless network infrastructure. It processes control and user plane data, supports multiple radio access technologies, and dynamically adjusts transmission parameters to enhance performance. The system may also integrate with other network components, such as base stations, gateways, or mobility management entities, to ensure seamless connectivity and service continuity. The gNB, as a key element, facilitates high-speed data transmission, low-latency communication, and support for massive machine-type communications (mMTC) and ultra-reliable low-latency communications (URLLC). The system improves spectral efficiency, reduces interference, and adapts to varying network conditions, ensuring reliable and efficient wireless communication.
14. The system of claim 8 , wherein the processor further executes the instructions to: send the assignment policy from one of the one or more network devices to multiple other network devices of one of the one or more network devices.
A system for managing network device assignments includes a processor that executes instructions to generate and distribute assignment policies across a network. The system operates in the domain of network management, addressing the challenge of efficiently allocating and coordinating tasks or resources among multiple network devices. The processor generates an assignment policy that defines how tasks or resources should be allocated among network devices. This policy is then sent from one network device to multiple other network devices within the same network. The distribution ensures that all relevant devices receive the policy, enabling consistent and coordinated operation. The system may also include a user interface for configuring the assignment policy, allowing administrators to define rules for task allocation. Additionally, the processor may monitor the network to detect changes in device status or performance, triggering updates to the assignment policy as needed. This dynamic adjustment ensures optimal resource utilization and task distribution across the network. The system improves efficiency by automating policy distribution and adapting to network conditions.
15. The system of claim 14 , wherein the assignment policy further includes priorities for end devices that provide a default S-NSSAI and end devices that provide no NSSAI.
A system for managing network slice selection in a wireless communication network addresses the challenge of efficiently assigning network slices to end devices based on their service requirements. The system includes a network slice selection function (NSSF) that receives a request from an end device, where the request may include a single network slice selection assistance information (S-NSSAI) or no network slice selection assistance information (NSSAI). The NSSF determines a network slice instance for the end device based on an assignment policy that considers the end device's capabilities, subscription information, and network conditions. The system dynamically adjusts slice assignments to optimize resource utilization and service quality. The assignment policy further includes priorities for end devices that provide a default S-NSSAI and those that provide no NSSAI, ensuring that devices with explicit slice requests are prioritized over those without, while still providing a fallback mechanism for devices that do not specify slice preferences. This prioritization helps balance network load and maintain service continuity. The system may also include a network repository function (NRF) to store and retrieve network slice-related data, and a network exposure function (NEF) to expose network capabilities to external applications. The solution enhances network efficiency and user experience by intelligently managing slice assignments based on device behavior and network policies.
16. A non-transitory computer-readable storage medium storing instructions executable by a processor of a network device, which when executed cause the network device to: receive, from one of a non-real-time radio access network (RAN) Intelligent Controller (RIC-non-RT) or a near-real-time RIC (RIC-near-RT), an assignment policy for selecting an access and mobility management function (AMF) from a group of available AMFs, wherein the assignment policy includes network slice priorities for available network slices in a radio access network (RAN); store, in a memory, the assignment policy; receive, during a registration procedure initiated by an end device, Network Slice Selection Assistance Information (NSSAI); identify, from the NSSAI, multiple single-NSSAIs (S-NSSAIs); and select, based on the assignment policy, an AMF for a highest priority S-NSSAI, of the multiple S-NSSAIs, when the assignment policy indicates there is no single AMF designated to provide service to the end device for all of the S-NSSAIs in the NSSAI.
This invention relates to network management in 5G and beyond networks, specifically addressing the challenge of efficiently selecting an Access and Mobility Management Function (AMF) for end devices during registration, particularly when multiple network slices are involved. The solution involves a network device that receives an assignment policy from either a non-real-time or near-real-time RAN Intelligent Controller (RIC). This policy includes network slice priorities for available slices in the RAN. The network device stores this policy and, during an end device's registration, receives Network Slice Selection Assistance Information (NSSAI), which contains multiple single-NSSAIs (S-NSSAIs). The device then selects an AMF for the highest-priority S-NSSAI when the policy indicates no single AMF can serve all S-NSSAIs in the NSSAI. This approach ensures optimal AMF selection based on slice priorities, improving network efficiency and service quality. The invention is implemented via executable instructions stored on a non-transitory computer-readable medium, executed by a processor in the network device.
17. The non-transitory computer-readable storage medium of claim 16 , further storing instructions executable by the processor of the network device to: periodically receive an updated assignment policy for selecting the AMF from the group of available AMFs.
This invention relates to network management in telecommunications systems, specifically improving the selection of Access and Mobility Management Function (AMF) nodes in a 5G network. The problem addressed is the need for dynamic and efficient AMF selection to optimize network performance, load balancing, and service continuity. The invention provides a method for a network device to periodically receive updated assignment policies for selecting an AMF from a group of available AMFs. These policies determine how the network device selects the most suitable AMF based on current network conditions, device capabilities, and service requirements. The network device stores these policies and uses them to make informed decisions when selecting an AMF, ensuring optimal resource utilization and minimizing service disruptions. The invention also includes mechanisms for the network device to request policy updates when needed, ensuring the selection process remains adaptive to changing network environments. This approach enhances network efficiency by dynamically adjusting AMF selection criteria, improving overall system performance and reliability.
18. The non-transitory computer-readable storage medium of claim 16 , wherein the assignment policy further includes priorities for end devices that provide a default S-NSSAI and end devices that provide no NSSAI.
The invention relates to network slicing in wireless communication systems, specifically to managing network slice selection assistance information (NSSAI) for end devices. In modern 5G networks, multiple virtualized network slices are deployed to support different service requirements, and NSSAI is used to indicate which slices an end device should connect to. A challenge arises when end devices provide incomplete or conflicting NSSAI, such as a default single network slice selection assistance information (S-NSSAI) or no NSSAI at all, leading to inefficient slice assignment and degraded service quality. The invention addresses this by implementing an assignment policy that prioritizes end devices based on their NSSAI provision. The policy assigns higher priority to end devices that provide a default S-NSSAI, ensuring they are routed to appropriate slices even when their NSSAI is incomplete. End devices that provide no NSSAI are assigned lower priority, allowing the network to handle them based on available resources or fallback mechanisms. This prioritization ensures optimal resource allocation and maintains service quality across different types of end devices. The policy is stored on a non-transitory computer-readable storage medium and executed by a network entity, such as a network slice selection function (NSSF), to dynamically manage slice assignments. The solution improves network efficiency and reliability by systematically handling varying levels of NSSAI completeness from end devices.
19. The non-transitory computer-readable storage medium of claim 16 , further storing instructions executable by the processor of the network device to: send, to the selected AMF, a registration request for the end device.
A system for managing network device registration in a wireless communication network addresses the challenge of efficiently handling device registration requests in a distributed network environment. The system includes a network device with a processor and a non-transitory computer-readable storage medium storing instructions executable by the processor. The instructions enable the network device to receive a registration request from an end device, where the registration request includes a device identifier and a network identifier. The network device then determines a target network slice for the end device based on the device identifier and the network identifier. The system also selects an Access and Mobility Management Function (AMF) from a plurality of AMFs based on the target network slice and the network identifier. The network device sends the registration request to the selected AMF, facilitating the registration process for the end device. This approach optimizes network resource allocation by dynamically routing registration requests to the appropriate AMF, ensuring efficient device management and improved network performance. The system is particularly useful in 5G and other advanced wireless networks where multiple network slices and AMFs are deployed to support diverse service requirements.
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December 1, 2020
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